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BackgroundChildhood obesity is a major public health concern. This study evaluated the independent and joint associations of family-level income, neighbourhood-level income and neighbourhood deprivation, in relation to child obesity.MethodsA cross-sectional study was conducted in children ≤12 years of age from TARGet Kids! primary care network (Greater Toronto Area, 2013–2019). Parent-reported family income was compared with median neighbourhood income and neighbourhood deprivation measured using the Ontario Marginalization Index. Children’s height and weight were measured and body mass index (BMI) z-scores (zBMI) were calculated. ORs and 95% CIs were estimated for the three exposure variables separately using multilevel multinomial logistic regression models with zBMI categories as the outcome, adjusting in model 1 for age, sex, ethnicity and number of family members and in model 2 adding family income. A joint measure was derived combining income and deprivation measures.ResultsA total of 5962 children were included. Low family income (Q1 vs Q5: OR=4.69, 95% CI 2.65 to 8.29), low neighbourhood income (Q1 vs Q5: OR=2.18, 95% CI 1.33 to 3.58) and high neighbourhood deprivation (Q1 vs Q5: OR=2.45, 95% CI 1.52 to 3.95) were each associated with increased OR of child obesity. However, after adjustment for family income, the association for both neighbourhood income (OR=1.39, 95% CI 0.82 to 2.34) and deprivation (OR=1.56, 95% CI 0.94 to 2.58) and obesity was attenuated. Children from low-income families living in low-income or high deprivation neighbourhoods had higher OR of obesity.ConclusionChild obesity was independently associated with low family-level income and a joint measure suggests that neighbourhood also matters. Socioeconomic inequalities at both individual and neighbourhood levels should be addressed in childhood obesity interventions.

Introduction Children exposed to adverse childhood experiences (ACEs) may access multiple systems of care to address medical and social complexities. Care coordination (CC) optimizes health outcomes for children with special health care needs who often use multiple systems of care. Little is known about whether ACEs are associated with the need and unmet need for CC. Methods Use of the 2016–2017 National Survey of Children’s Health to identify children who saw ≥1 health care provider in the last 12 months. The study team used weighted logistic regression analyses to examine associations between 9 ACE types, ACE score, and need and unmet need for CC. Results In the sample ( N = 39,219, representing 38,316,004 US children), material hardship (adjusted odds ratio (aOR), 1.50; 95% confidence interval (CI), 1.29–1.75), parental mental illness (aOR, 1.31; 95% CI, 1.07–1.60), and neighborhood violence (aOR, 1.33; 95% CI, 1.01–1.74) were significantly associated with an increased need for CC. Material hardship was also associated with an unmet need for CC (aOR, 2.37; 95% CI, 1.80–3.11). Children with ACE scores of 1, 2, 3, and ≥4 had higher odds of need and unmet need for CC than children with 0 ACEs. Discussion Specific ACE types and higher ACE scores were associated with the need and unmet need for CC. Evaluating the unique needs of children who endured ACEs should be considered in the design and implementation of CC processes in the pediatric health care system.

Primary Subject area Social Paediatrics Background There are concerns of increased food insecurity rates during the COVID-19 pandemic, but there is no evidence to date about families with children with an acute or chronic illness. Parents with a child admitted to the hospital may also experience hospital-based food insecurity, defined as the inability of caregivers to afford adequate food during their child’s hospitalization. Objectives We aimed to measure the prevalence of household and hospital-based food insecurity in an academic pediatric hospital setting during the COVD-19 pandemic. We also explored the effects of food insecurity on parental distress and overall caregivers’ experiences obtaining food during their hospital stay. Design/Methods This was a cross-sectional study from April to October 2020. Household food insecurity was measured using the 18-item U.S. Household Food Security Survey Module. Three adapted questions about hospital-based food insecurity were added. Parental distress was measured with the validated Distress Thermometer for Parents: “0” indicates “no distress” and “10” indicates “extreme distress”. Descriptive statistics were used to assess the proportions of food insecurity. Linear regression models were used to explore the relationship between food insecurity and parental distress adjusted for potential confounders. To explore caregivers’ experiences we included one open-ended question in our survey, asking: “Do you have any other feedback regarding your food situation during your child’s hospital admission?”. Recurrent themes were identified using qualitative analysis. Results 851 families were reached by telephone and 775 (91.0%) provided consent to participate. 435 (56.1%) completed at least one questionnaire [Figure 1 Study Flow Diagram]. Caregivers described a high prevalence of household (34.2%) and hospital-based (38.0%) food insecurity. Both adult (B= 0.21 [95% CI 0.07-0.36]), child (B= 0.38 [95% CI 0.10-0.66]) and hospital-based (B= 0.56 [95% CI 0.30-0.83]) food insecurity were significantly associated with parental distress independent of covariates [Table]. In the qualitative analysis, the financial burden and emotional and practical barriers obtaining food in the hospital were identified as important themes. Parents also commented that they “need to eat to be able to take part in the care of their child during hospitalization”. Conclusion Both household and hospital-based food insecurity were highly prevalent in caregivers and significantly associated with parental distress, independent of covariates. High parental distress is known to be associated with a child’s maladjustment to illness and adherence with medical treatment. Hospitals need to strongly consider reducing barriers for parents to obtain food for themselves during their child’s admission in order to reduce parental distress.

Family income is an important determinant of child and parental health. In Canada, cash transfer programs to families with children have existed since 1945. This systematic review aimed to examine the association between cash transfer programs to families with children and health outcomes in Canadian children (ages 0 to 18) as well as family economic outcomes.We reviewed academic and grey literature published up to November 2021. Additional studies were identified through reference review. We included any study that examined children 0-18 years old and/or their parents, took place in Canada and reported Canada-specific data, and reported child, youth and/or parental health outcomes, as well as family economic outcomes. Risk of bias was assessed by two reviewers using a modified Newcastle-Ottawa Scale.Our search yielded 23 studies meeting the inclusion criteria out of 7052 identified. Eight studies in total measured child health outcomes, including birth outcomes, child overall health, and developmental and behavioural outcomes, and four directly addressed parental health, including mental health, injuries, and obesity. Most studies reported generally positive associations, though some findings were specific to certain subgroups. Some studies also examined fertility and labour force participation outcomes, which described varying effects.Cash transfer programs to families with children in Canada are associated with better child and parental health outcomes. Additional research is needed to evaluate the mechanisms of effects, and to identify which types and levels of government transfers are most effective, and target populations, to optimize the positive effects of these benefits.RéSUMé: OBJECTIFS: Le revenu familial est un important déterminant de la santé infantile et parentale. Au Canada, des programmes de transferts monétaires aux familles avec enfants existent depuis 1945. Notre revue systématique visait à examiner l’association entre les programmes de transferts monétaires aux familles avec enfants et les résultats cliniques chez les enfants canadiens (0 à 18 ans), ainsi que les résultats économiques familiaux. MéTHODE: Nous avons passé en revue la littérature spécialisée et la littérature grise publiées jusqu’en novembre 2021. D’autres études ont été répertoriées par une revue des références. Nous avons inclus toute étude portant sur les enfants de 0 à 18 ans et/ou leurs parents, menée au Canada, rapportant des données propres au Canada et rapportant les résultats cliniques d’enfants, de jeunes et/ou de parents, ainsi que les résultats économiques de familles. Le risque de biais a été évalué par deux évaluateurs à l’aide d’une échelle de Newcastle-Ottawa modifiée. SYNTHèSE: Sur les 7 052 études repérées dans notre recherche, 23 répondaient aux critères d’inclusion. En tout, huit études mesuraient les résultats cliniques d’enfants, dont les issues de la grossesse, la santé globale des enfants et les résultats développementaux et comportementaux, et quatre études portaient directement sur la santé parentale, dont la santé mentale, les blessures et l’obésité. La plupart des études faisaient généralement état d’associations positives, mais certaines constatations étaient spécifiques à certains sous-groupes. Quelques études portaient aussi sur la fécondité et la participation à la population active et décrivaient une diversité d’effets. CONCLUSION: Les programmes de transferts monétaires aux familles avec enfants au Canada sont associés à de meilleurs résultats cliniques infantiles et parentaux. Il faudrait pousser la recherche pour évaluer les mécanismes des effets constatés et pour déterminer quels sont les types et les niveaux de transferts gouvernementaux qui sont les plus efficaces, ainsi que les populations cibles, pour optimiser les effets positifs de ces prestations.

Evidence has established the association between risk factors and attention-deficit/hyperactivity disorder (ADHD) severity, but less is known about factors that may have protective effects on clinical, academic, and social outcomes among children with ADHD.To examine associations between family cohesion, caregiver social support, community support, and (1) ADHD severity, (2) school engagement, and (3) difficulty making or keeping friends.Cross-sectional study of school-aged and adolescent children with ADHD using data from the 2016 National Survey of Children's Health. Our outcomes were (1) parent-rated ADHD severity, (2) school engagement, and (3) difficulty making or keeping friends. Our independent variables were (1) family cohesion, (2) caregiver social support, and (3) community support. We used logistic regression models to examine associations between our independent variables and each of our outcome variables, adjusting for child and parent sociodemographic characteristics.In our sample (N = 4,122, weighted N = 4,734,322), children exposed to family cohesion and community support had lower odds of moderate to severe ADHD [adjusted OR (aOR): 0.73 (0.55-0.97); aOR: 0.73 (0.56-0.95), respectively], higher odds of school engagement [aOR: 1.72, (1.25-2.37); aOR: 1.38, (1.04-1.84), respectively], and lower odds of difficulty making or keeping friends [aOR: 0.64, (0.48-0.85); aOR: 0.52, (0.40-0.67), respectively].Among children with ADHD, family cohesion and community support show protective effects in clinical, academic, and social outcomes. Systematically identifying family- and community-level strengths may be important components of multimodal treatment strategies in children with ADHD.

Objective Material hardships, defined as difficulty meeting basic needs, are associated with adverse child health outcomes, including suboptimal health care utilization. Children with special health care needs (CSHCN) may be more vulnerable to the effects of hardships. Our objective was to determine associations between material hardships and health care utilization among CSHCN. Methods We conducted a cross-sectional study surveying caregivers of 2- to 12-year-old CSHCN in a low-income, urban area. Independent variables were parent-reported material hardships: difficulty paying bills, food insecurity, housing insecurity, and health care hardship. Dependent variables were parent-reported number of emergency department (ED) visits, any hospital admission, and any unmet health care need. We used negative binomial and logistic regression to assess for associations between each hardship and each outcome. Results We surveyed 205 caregivers between July 2017 and May 2018 and analyzed the data in 2018. After adjustment, difficulty paying bills (incidence rate ratio [IRR], 1.51; 95% confidence interval [CI], 1.08–2.12) and health care hardship (IRR, 1.72; 95% CI, 1.08–2.75) were associated with higher rates of ED visits. There were no associations between hardships and hospital admission. Difficulty paying bills (adjusted odds ratio [AOR], 2.13; 95% CI, 1.14–3.98), food insecurity (AOR, 1.95; 95% CI, 1.02–3.71), and housing insecurity (AOR, 2.71; 95% CI, 1.36–5.40) were associated with higher odds of unmet health care need. Conclusions Material hardships were associated with higher rates of ED visits and greater unmet health care need among low-income CSHCN. Future examination of the mechanisms of these associations is needed to enhance support for families of CSHCN.

BACKGROUND:A mother whose child has a chronic condition, such as a major congenital anomaly, often experiences poorer long-term health, including earlier mortality. Little is known about the long-term health of fathers of infants with a major congenital anomaly.METHODS:In this population-based prospective cohort study, we used individual-linked Danish registry data. Included were all mothers and fathers with a singleton infant born January 1, 1986, to December 31, 2015. Cox proportional hazards regression was used to generate hazard ratios for all-cause and cause-specific mortality among mothers and fathers whose infant had an anomaly and fathers of unaffected infants, relative to mothers of unaffected infants (referent), adjusted for child’s year of birth, parity, parental age at birth, parental comorbidities, and sociodemographic characteristics.RESULTS:In total, 20 952 of 965 310 mothers (2.2%) and 20 655 of 951 022 fathers (2.2%) had an infant with a major anomaly. Median (interquartile range) of parental follow-up was 17.9 (9.5 to 25.5) years. Relative to mothers of unaffected infants, mothers of affected infants had adjusted hazard ratios (aHRs) of death of 1.20 (95% confidence interval [CI]: 1.09 to 1.32), fathers of unaffected infants had intermediate aHR (1.62, 95% CI: 1.59 to 1.66), and fathers of affected infants had the highest aHR (1.76, 95% CI: 1.64 to 1.88). Heightened mortality was primarily due to cardiovascular and endocrine/metabolic diseases.CONCLUSIONS:Mothers and fathers of infants with a major congenital anomaly experience an increased risk of mortality, often from preventable causes. These findings support including fathers in interventions to support the health of parental caregivers.

Background Income related inequities in child health are well-established, with children from lower income households showing increased risk of obesity, behavior problems, and delayed development. To facilitate clinical diagnosis, outcomes are conventionally measured in dichotomous terms. However, inequities may exist along the entire range of distribution, with implications for population health. Objectives Our primary objective was to examine differences in the distribution of three measures of child health by income: body mass index (BMI), behavior difficulties and development. Design/Methods This was a cross sectional study of children enrolled in a primary care practice-based research cohort. Our study included generally healthy children recruited from age 0-5 years. Dependent variables were 1) BMI z-score (zBMI) at 5 years; 2) behavior: total score on the Strengths and Difficulties Questionnaire (SDQ), measured at 3-5 years; 3) development: total score on the Infant Toddler Checklist (ITC), measured at 18-24 months. Independent variable was parent-reported annual household income (< $100,000 vs ≥ $100000). We then used distributional decomposition, which uses mathematical re-weighting to construct a counterfactual distribution that describes the distribution of the lower income group based on the predictor profile (child age, sex, birthweight, prematurity, breastfeeding duration; maternal age, education, immigration status, ethnicity) of the higher income group. Results Our study samples consisted of 1649 (zBMI), 764 (SDQ) and 761 (ITC) children. Mean BMI z-score was 0.16, median total difficulties score was 7, median ITC score was 48. Comparing distributions graphically (Figure 1), children with low income have a higher risk distribution for all outcomes; for example, children with low income were more likely to have BMI z-scores in the underweight and obese ranges. For each outcome, the counterfactual curve lower income children with the predictor profile of their higher income counterparts reduced inequities somewhat, particularly in the normal or low risk range, but not in the high-risk range. However, there were notable unexplained portions of inequity remaining. Conclusion In a cohort of generally healthy children, we found evidence of meaningful income-related inequities in the distribution of child zBMI, behavior difficulties, and development. Population health interventions aiming to mitigate these inequities by addressing common predictors may improve outcomes in the normal range; however targeted clinical interventions are likely required for those in the high-risk range.

Objective Prenatal maternal stresses have been associated with infant temperament patterns linked to later behavioral difficulties. Material hardships, defined as inability to meet basic needs, are important prenatal stressors. Our objective was to determine the associations between prenatal material hardships and infant temperament at 10 months. Methods This was a longitudinal study of mother-infant pairs in a randomized controlled trial of a primary care-based early obesity prevention program (Starting Early). Independent variables representing material hardship were: housing disrepair, food insecurity, difficulty paying bills, and neighborhood stress (neighborhood safety). Dependent variables representing infant temperament were assessed using questions from 3 subscales of the Infant Behavior Questionnaire: orienting/regulatory capacity, negative affect, and surgency/extraversion. We used linear regression to investigate associations between individual and cumulative hardships and each temperament domain, adjusting for confounders, and testing for depression as a moderator. Results Four hundred twelve mother-infant pairs completed 10-month assessments. Thirty-two percent reported food insecurity, 26% difficulty paying bills, 35% housing disrepair, and 9% neighborhood stress. In adjusted analyses, food insecurity was associated with lower orienting/regulatory capacity scores (β = −0.25; 95% confidence interval [CI], −0.47 to −0.04), as were neighborhood stress (β = −0.50; 95% CI, −0.83 to −0.16) and experiencing 3 to 4 hardships (compared with none; β = −0.54; 95% CI, −0.83 to −0.21). For neighborhood stress, the association was stronger among infants of mothers with prenatal depressive symptoms (interaction term P = .06). Conclusion Prenatal material hardships were associated with lower orienting/regulatory capacity. These findings support the need for further research exploring how temperament relates to child behavior, and for policies to reduce prenatal material hardships.

Childhood obesity is a major public health challenge and its prevalence continues to increase in many, but not all, countries worldwide. International data indicate that the prevalence of obesity is greater among boys than girls 5–19 years of age in the majority of high and upper middle-income countries worldwide. Despite this observed sex difference, relatively few studies have investigated sex-based and gender-based differences in childhood obesity. We propose several hypotheses that may shape the research agenda on childhood obesity. Differences in obesity prevalence may be driven by gender-related influences, such as societal ideals about body weight and parental feeding practices, as well as sex-related influences, such as body composition and hormones. There is an urgent need to understand the observed sex differences in the prevalence of childhood obesity; incorporation of sex-based and gender-based analysis in all childhood obesity studies may ultimately contribute to improved prevention and treatment.

BACKGROUND: Material hardship has been associated with adverse health care use patterns for children with special health care needs (CSHCN). In this study, we assessed if resilience factors were associated with lower emergency department (ED) visits and unmet health care needs and if they buffered associations between material hardship and health care use for CSHCN and children without special health care needs. METHODS: A cross-sectional study using the 2016 National Survey of Children’s Health, restricted to low-income participants ( RESULTS: The sample consisted of 11 543 children (weighted: n = 28 465 581); 26% were CSHCN. Material hardship was associated with higher odds of ED visits and unmet health care needs for all children. Resilience factors were associated with lower odds of unmet health care needs for CSHCN (family resilience adjusted odds ratio: 0.58; 95% confidence interval: 0.36–0.94; neighborhood cohesion adjusted odds ratio: 0.53; 95% confidence interval: 0.32–0.88). For CSHCN, lower material hardship mediated associations between resilience factors and unmet health care needs. Neighborhood cohesion moderated the association between material hardship and ED visits (interaction term: P = .02). CONCLUSIONS: Among low-income CSHCN, resilience factors may buffer the effects of material hardship on health care use. Future research should evaluate how resilience factors can be incorporated into programs to support CSHCN.

OBJECTIVES: To determine whether parent report of difficulty buying food was associated with child body mass index (BMI) z-score or with eating habits in young children. METHODS: This was a cross-sectional study in primary care offices in Toronto, Ontario. Subjects were children aged 1–5 years and their caregivers, recruited through the TARGet Kids! Research Network from July 2008 to August 2011. Regression models were developed to test the association between parent report of difficulty buying food because of cost and the following outcomes: child BMI z-score, parent’s report of child’s intake of fruit and vegetables, fruit juice and sweetened beverages, and fast food. Confounders included child’s age, sex, birth weight, maternal BMI, education, ethnicity, immigration status, and neighbourhood income. RESULTS: The study sample consisted of 3333 children. Data on difficulty buying food were available for 3099 children, and 431 of these (13.9%) were from households reporting difficulty buying food. There was no association with child BMI z-score ( p = 0.86). Children from households reporting difficulty buying food (compared with never having difficulty buying food) had increased odds of consuming three or fewer servings of fruits and vegetables per day (odds ratio [OR]: 1.31, 95% confidence interval [CI]: 1.03–1.69), more than one serving of fruit juice/sweetened beverage per day (OR: 1.60, 95% CI: 1.28–2.00), and, among children 1–2 years old, one or more servings of fast food per week (OR: 2.91, 95% CI: 1.67–5.08). CONCLUSION: Parental report of difficulty buying food is associated with less optimal eating habits in children but not with BMI z-score.